Use Case Overview
Curiosity about the world and the desire to learn about other cultures have always motivated people to learn foreign languages. But studies show that learning a second or even a third language improves cognitive abilities and refines soft skills to a degree. Globally, individuals engaged in language learning has consistently grown, reaching an approximate total of 1.5 billion active learners. Gaining fluency in additional languages significantly broadens employment opportunities — research indicates that employees with language proficiency in more than one language tend to receive salaries that are 5-20% higher than those who speak only one language.
But finding a mobile application that meets the individual learning needs of the user is not a simple task. With help comes on-device artificial intelligence and machine learning (ML) for language acquisition apps. AI language learning apps not only enhance the learning experience by offering personalized and interactive sessions but also address privacy concerns by processing data locally on the device.
Features
On-device machine learning (ML) for an AI language learning app offers a wide range of capabilities and functionality for maximizing learning efficiency. AI lets the application understand and generate human language, making the language learning experience feel natural.
Real-Time Speech Recognition
Instant analysis of the user's speech thanks to natural language processing (NLP) is a great option for pronunciation and grammar correction.
Privacy and Security
Processes and data are stored locally on the device, ensuring user privacy. The risk of personally identifiable information being inadvertently released is greatly minimized.
Personalized Learning Experience
Application adapts to the individual's learning pace and style, offering a tailored educational journey. Students can solve grammar exercises and improve conversational skills in areas where they need the most improvement.
Interactive and Engaging
Makes learning a new language fun and engaging through interactive exercises and real-world scenarios that can help improve cultural understanding.
Value for Students
User satisfaction is a key aspect of using machine learning (ML) on the device for language learning applications. Advanced AI systems can help students and language teachers gain insight into the learning progress and adjust the pace.
Increases learning efficiency
Adapting the style and type of tasks increases the user's engagement, which translates into efficiency of the learning process.
Breaks the language barrier
The ability to use the application at one's own pace and tailored to individual needs increases the user's self-confidence, breaking the stereotype of a boring and difficult way to learn a language.
Value for publishers
For education institutions and media companies, integrating on-device ML in language learning apps means providing an effective and secure personalized educational tool with instant feedback. While an AI-powered language education application won't replace traditional teaching methods and human interaction with native speakers, it can be a valuable addition that helps students stay consistent in their language practice.
Enhanced Engagement
Education institutions can integrate these apps into their curriculum, offering students an innovative way to practice and improve their language skills outside the traditional classroom setting.
Content Localization
Media companies can use smart apps to offer language learning as a value-added service, encouraging users to engage with their content in multiple languages.
Community Building
Both sectors can leverage these apps to build communities of language learners, fostering interaction and collaboration among users worldwide.
